Predictive back-to-back SCHVC for renewable wind power system for scrutinizing quality and reliability

Bodha, Venugopal Reddy; Srujana, A.; Raju, K. Narasimha

doi:10.1080/15567036.2019.1586013

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…A battery charge controller based on a microcontroller with a maximum power point tracker (MPPT) is designed in [34]. Reference [35] proposes an H-bridge voltage converter for the predictive control of the wind energy system. A PI controller which ensures maximum coordination between the single-phase grid and the photovoltaic unit is discussed in [36].…”

Section: Introductionmentioning

confidence: 99%

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

et al. 2022

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The use of renewable energy sources is the need of the hour, but the highly intermittent nature of the wind and solar energies demands an efficient controller be connected with the system. This paper proposes an adept control algorithm for an isolated system connected with renewable energy sources. The system under consideration is a hybrid power system with a wind power harnessing unit associated with a solar energy module. A controller that works with enhanced phase locked loop (EPLL) algorithm is provided to maintain the quality of power at the load side and ensure that the source current is not affected during the load fluctuations. EPLL is very simple, precise, stable, and highly efficient in maintaining power quality. The double-frequency error which is the drawback of standard phase locked loop is eliminated in EPLL. Optimization techniques are used here to tune the values of the PI controller gains in the controlling algorithm. Tuning of the controller is an important process, as the gains of the controllers decide the quality of the output. The system is designed using MATLAB/SIMULINK. Codes are written in MATLAB for the optimization. Out of the three different optimization techniques applied, the salp swarm algorithm is found to give the most suitable gain values for the proposed system. Solar power generation is made more efficient by implementing maximum power point tracking. Perturb and observe is the method adopted for MPPT.

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Section: Introductionmentioning

confidence: 99%

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

et al. 2022

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“…These electric vehicles are run by an induction motor, which is fed by multilevel inverters. Apart from this, the fossil fuels which supply the major part of electrical energy in the world are diminishing continuously, and the world is relying on renewable energy sources (RES) [1][2][3][4][5][6][7] like the photovoltaic (PV) system [8][9][10][11][12][13], wind energy and fuel cell energy systems. In [1], the authors have used the inverter controller for renewable energy sources and to examine the role, importance, and functioning of the inverter.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], the authors have also developed a bidirectional inverter for PV based power generation system. However, the authors [1][2][3][4][5][6][7]12] did not consider the multilevel inverters in their research. The nature of supply and magnitude of voltage from these renewable energy sources do not match with load or grid requirements.…”

Section: Introductionmentioning

confidence: 99%

Seven-Level Symmetrical Series/Parallel Multilevel Inverter with PWM Technique Using Digital Logic

Nagaraju

Kumar

2021

Int. j. electr. comput. eng. syst. (Online)

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This paper attempts to come up with a proposed configuration of Multilevel inverters with a lesser number of switches that are smaller in size, lesser in cost and with a higher efficiency. Designing an inverter topology with a lesser number of switches and proper control technique is the major challenge. cascaded H-Bridge (CHB) topology are more popular among the existing configurations of multilevel inverters (MLI). Even though it can produce more levels, it needs to accommodate a huge number of switches for higher levels. The focus of this paper is to reduce the number of components for the same voltage level of cascaded H- Bridge configuration. In addition to that, generating the gating pulses for the switches is difficult when there is an asymmetry in the switches. A new symmetrical series/parallel configuration is proposed with reduced switch count and the pulse width modulation (PWM) technique is implemented with digital logic to generate the required gating pulses for the switches. The total harmonic distortion (THDI) of the output current is reduced with this PWM technique. The simulation has been carried out in MATLAB/Simulink software for both R (resistive) and R-L (resistive -inductive) loads.

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“…A wind power generating unit using ANN control used for a PMSG is proposed in [30]. Stability, Reactive power management, Reliability and Quality while integrating wind power systems to the Grid are discussed in [31][32][33][34][35]. Reference [36] defines and proposes measures to illustrate the variations of powers and power flows.…”

Section: Introductionmentioning

confidence: 99%

An ALO Optimized Adaline Based Controller for an Isolated Wind Power Harnessing Unit

Kodakkal

Rajagopal

Raju

et al. 2021

Designs

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A power generating system should be able to generate and feed quality power to the loads which are connected to it. This paper suggests a very efficient controlling technique, supported by an effective optimization method, for the control of voltage and frequency of the electrical output of an isolated wind power harnessing unit. The wind power unit is modelled using MATLAB/SIMULINK. The Leaky least mean square algorithm with a step size is used by the proposed controller. The Least Mean Square (LMS) algorithm is of adaptive type, which works on the online modification of the weights. LMS algorithm tunes the filter coefficients such that the mean square value of the error is the least. This avoids the use of a low pass filter to clean the voltage and current signals which makes the algorithm simpler. An adaptive algorithm which is generally used in signal processing is applied in power system applications and the process is further simplified by using optimization techniques. That makes the proposed method very unique. Normalized LMS algorithm suffers from drift problem. The Leaky factor is included to solve the drift in the parameters which is considered as a disadvantage in the normalized LMS algorithm. The selection of suitable values of leaky factor and the step size will help in improving the speed of convergence, reducing the steady-state error and improving the stability of the system. In this study, the leaky factor, step size and controller gains are optimized by using optimization techniques. The optimization has made the process of controller tuning very easy, which otherwise was carried out by the trial-and-error method. Different techniques were used for the optimization and on result comparison, the Antlion algorithm is found to be the most effective. The controller efficiency is tested for loads that are linear and nonlinear and for varying wind speeds. It is found that the controller is very efficient in maintaining the system parameters under normal and faulty conditions. The simulated results are validated experimentally by using dSpace 1104. The laboratory results further confirm the efficiency of the proposed controller.

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Predictive back-to-back SCHVC for renewable wind power system for scrutinizing quality and reliability

Cited by 6 publications

References 11 publications

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

Seven-Level Symmetrical Series/Parallel Multilevel Inverter with PWM Technique Using Digital Logic

An ALO Optimized Adaline Based Controller for an Isolated Wind Power Harnessing Unit

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